Best LLM Application Frameworks

Frameworks for building LLM-powered applications. Compare RAG capabilities, agent support, data connectors, and production readiness.

7 tools·Updated February 2025
1
D

DSPy

Programming framework for optimizing LLM prompts and weights

FrameworkOpen Source18KMedium setup
Prompt optimizationLLM pipelinesResearch
2
h

haystack

Open-source AI framework for building production-ready LLM applications.

FrameworkOpen Source24KMedium setup
Building scalable retrieval-augmented generation (RAG) systemsCreating multimodal applications that integrate various data typesImplementing semantic search functionalities
3
I

Instructor

Structured outputs from LLMs with validation

FrameworkOpen Source8.0KLow setup
Data extractionStructured outputsForm filling
4
L

LangChain

Framework for building LLM-powered applications and agents.

FrameworkOpen Source127KMedium setup
Connecting LLMs to diverse data sources for real-time data augmentation.Rapid prototyping of LLM applications using a modular architecture.Building complex agent workflows with LangGraph for enhanced control.
5
L

LlamaIndex

Data framework for building LLM applications.

FrameworkOpen Source47KMedium setup
Ingesting data from APIs, PDFs, and SQL databases for LLM applications.Structuring data into indices and graphs for efficient querying.Augmenting LLM outputs with private data for improved context.
6
s

semantic-kernel

Framework for building AI agents and multi-agent systems.

FrameworkOpen Source27KMedium setup
Building a simple chatbot for customer support.Creating a multi-agent system for complex business processes.Integrating various AI models for enhanced functionality.
7
V

Vercel AI SDK

TypeScript toolkit for building AI-powered web applications

FrameworkOpen Source10KLow setup
AI chatbotsStreaming UIsNext.js AI apps

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